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FUZZY IDENTIFICATION OF THE RELIABILITY STATE OF THE MINE DETECTING SHIP PROPULSION SYSTEM

机译:矿井检测船舶推进系统可靠性状态的模糊识别

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摘要

The study presents the evaluation and comparative analysis of engine shaft line performance in maritime transport ships of the same type. During its operation, a technical system performs functions for which it was designed. It goes through different states. Dynamic state changes of a rotational system can be identified by means of its vibration measurement. For this purpose, a research was carried out which involved recording vibrations of the analysed rotational systems. The recordings were used for calculating selected characteristics in the time-domain, where one of the most unique is the value of the normalized mutual correlation function. On the basis of the concentration values, the characteristics which unambiguously determine the ability state were selected for further studies. Then an identification method for rotational system non-coaxiality was proposed. The method involves using fuzzy clustering. According to this method the values of input signal characteristics were used to formulate fuzzy clusters of system ability and inability states. The method can be used for identifying the current state of the system. The study presents the results of the application of this method in engine turbine shaft lines of minesweepers, with the rotational system selected as an example. It needs to be noted that the efficiency of identifying the operating state of the system with this method is higher than with other methods described in the literature by authors who deal with this issue. The research results have a significant impact on the evaluation of mechanical properties of the studied objects and directly affect operational states of mechanical systems, including those installed in minesweepers, thus determining their reliability.
机译:该研究介绍了相同类型的海上运输船舶发动机轴线性能的评估和比较分析。在运行过程中,技术系统执行其设计的功能。它通过不同的状态。可以通过其振动测量来识别旋转系统的动态状态变化。为此目的,进行了一种研究,涉及分析的旋转系统的记录振动。录制用于计算时域中的选定特征,其中最独特的是归一化相互关联函数的值。在浓度值的基础上,选择明确确定能力状态的特征进行进一步研究。然后提出了一种旋转系统非同轴性的识别方法。该方法涉及使用模糊聚类。根据该方法,输入信号特性的值用于制定系统能力和无能状态的模糊簇。该方法可用于识别系统的当前状态。该研究提出了该方法在MineSweepers的发动机涡轮轴线中应用的结果,用旋转系统作为示例。需要注意的是,使用该方法识别系统的操作状态的效率高于处理此问题的作者中描述的其他方法。研究结果对研究对象的机械性能的评估产生了重大影响,并直接影响机械系统的运营状态,包括安装在MineSweepers中的那些,从而确定其可靠性。

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